Embedded Medical Image Coding Using Quantization Improvement of SPIHT

被引：0

作者：

Wang, Wentao ^{[1
,2
]}

Wang, Guoyou ^{[1
]}

Zhang, Tianxu ^{[1
]}

Zeng, Guangping ^{[2
]}

机构：

[1] Huazhong Univ Sci & Technol, Inst Pattern Recognit & Artificial Intelligence, Wuhan 430074, Peoples R China

[2] South Cent Univ Natl, Coll Comp Sci, Wuhan, Peoples R China

来源：

2009 3RD INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICAL ENGINEERING, VOLS 1-11 | 2009年

关键词：

embedded coding; bit plane; medical image; quantization; TRANSFORM;

D O I：

暂无

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

In this paper we investigate the problem of how to quantize the wavelet coefficients in the lowest frequency subband with multi-scalar method. A new quantization implementation of efficient lossy medical image compression using the Set Partitioningin Hierarchical Trees (SPIHT) algorithm at low bit rates is proposed. First, in the higher bit plane, this algorithm only quantizes the wavelet coefficients in the lowest frequency subband. Then it quantizs other ones by uniform scalar. Experiment results have shown the proposed scheme improves the performance of wavelet image coders. In particular, it will get better coding gain in the low bit rate image coding.

引用

页码：2157 / +

页数：2

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